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Containers provide a delightful development experience. It’s easy to download a container image and get started writing code. But it’s a different story when you have to run containers in production at scale. That’s when all the hidden complexities become apparent and the real challenges begin. What tools are you going to use to build, deploy, run, and manage your containerized applications? How are you going to manage difference between environments like staging and production with a fleet of immutable objects? How will you effectively scale containerized applications once you’ve deployed them?

Habitat, our open-source project for application automation, simplifies container management by packaging applications in a compact, atomic, and easily auditable format that makes it easier to deploy your application on various container runtimes. Once your applications are deployed, the Habitat supervisor simplifies the complexities of running in production environments with built-in abstractions for functions typically handled by external tooling, such as dynamic scaling and rolling updates.

Join us for this workshop to learn how Habitat can help you overcome these obstacles as you look to implement container based solutions. Attendees will learn about Habitat's container build system, how to package and application with Habitat, and how to run this packaged application leveraging Habitat's service supervisor.

Michael Ducy -
Director, Product Marketing,
Chef

3:00pm4:30pm (90 mins)

Main agenda

Getting Started with Containers and Kubernetes

In this workshop you'll dive into containers, how they're composed, and their uses. From there you'll stand up a Kubernetes deployment either in the cloud or on your laptop and dive in to how containers can be managed on platforms like Kubernetes.

By the end of this workshop, you'll be able to identify the differences in container types, how to setup a Kubernetes install, and the vocabulary and common workflows for running containers on Kubernetes.

Attendees will need to bring a laptop. For those of you interested in running Kubernetes, you’ll need Ubuntu running on your laptop or virtual machine with a minimum of 4GB RAM and SSD drive. Otherwise, temporary cloud credentials will be provided for deployment sections of the workshop.

Marco Ceppi -
DevOps Engineering Manager,
Canonical

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